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Marcel J. E. Golay

Bio: Marcel J. E. Golay is an academic researcher from PerkinElmer. The author has contributed to research in topics: Gas chromatography & Hagen–Poiseuille equation. The author has an hindex of 23, co-authored 52 publications receiving 17245 citations.


Papers
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Patent
30 Apr 1970

10 citations

Patent
Marcel J. E. Golay1
30 Jan 1967
TL;DR: Perkin-Elmer as mentioned in this paper proposed a lock-on arrangement for magnetic resonance spectrometers with homogenizing coils for increasing the uniformity of the polarizing field in the region of the sample to be analyzed.
Abstract: 1,197,852. Nuclear magnetic resonance spectrometers. PERKIN-ELMER CORP. Jan.15, 1968 [Jan.30, 1967], No.2087/68. Heading G1N. In an N.M.R. spectrometer having homogenizing coils for increasing the uniformity of the polarizing field in the region of the sample to be analyzed, and a lock-on arrangement including a reference sample for detecting and compensating for variations in the field over a period of time, further coils are provided for homogenizing the field in the region of the reference sample. These further coils are cemented to an insulating sphere 42 through which the reference sample tube 38, surrounded by r.f. coil 40, extends. In one arrangement, three coils are arranged on the loci on the sphere where the zonal (2z 2 - x 2 - y 2 ), first tesseral (x.y), and second tesseral (y.z) spherical harmonic functions vanish Figs.4, 5 and 6 respectively, (not shown). The magnitude and direction of the current in each coil is independently adjustable. In a second arrangement, Fig.7 (not shown), three zonal coils are arranged symmetrically about the Z axis, the direction of the polarizing field, being spaced therefrom by an angle # and mutually spaced by an angle #. Approximate values of # and # are given.

10 citations

Journal ArticleDOI
Marcel J. E. Golay1
TL;DR: Several already known and several new spectrometric systems are compared from the viewpoint of noise factor, instrumental simplicity, and general performance in this paper, where the authors compare the performance of the existing and new systems.
Abstract: Several already known and several new spectrometric systems are compared from the viewpoint of noise factor, instrumental simplicity, and general performance.

10 citations

Journal ArticleDOI
Marcel J. E. Golay1
01 Sep 1961

9 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper investigates two fundamental problems in computer vision: contour detection and image segmentation and presents state-of-the-art algorithms for both of these tasks.
Abstract: This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. Our contour detector combines multiple local cues into a globalization framework based on spectral clustering. Our segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree. In this manner, we reduce the problem of image segmentation to that of contour detection. Extensive experimental evaluation demonstrates that both our contour detection and segmentation methods significantly outperform competing algorithms. The automatically generated hierarchical segmentations can be interactively refined by user-specified annotations. Computation at multiple image resolutions provides a means of coupling our system to recognition applications.

5,068 citations

Journal ArticleDOI
TL;DR: This protocol details the basic steps of obtaining and interpreting CD data, and methods for analyzing spectra to estimate the secondary structural composition of proteins.
Abstract: Circular dichroism (CD) is an excellent tool for rapid determination of the secondary structure and folding properties of proteins that have been obtained using recombinant techniques or purified from tissues. The most widely used applications of protein CD are to determine whether an expressed, purified protein is folded, or if a mutation affects its conformation or stability. In addition, it can be used to study protein interactions. This protocol details the basic steps of obtaining and interpreting CD data, and methods for analyzing spectra to estimate the secondary structural composition of proteins. CD has the advantage that measurements may be made on multiple samples containing < or =20 microg of proteins in physiological buffers in a few hours. However, it does not give the residue-specific information that can be obtained by x-ray crystallography or NMR.

3,093 citations

Journal ArticleDOI
TL;DR: In this article, a generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described, which removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity).
Abstract: A generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O-PLS), is described. O-PLS removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity). In mathematical terms this is equivalent to removing systematic variation in X that is orthogonal to Y. In an earlier paper, Wold et al. (Chemometrics Intell. Lab. Syst. 1998; 44: 175-185) described orthogonal signal correction (OSC). In this paper a method with the same objective but with different means is described. The proposed O-PLS method analyzes the variation explained in each PLS component. The non-correlated systematic variation in X is removed, making interpretation of the resulting PLS model easier and with the additional benefit that the non-correlated variation itself can be analyzed further. As an example, near-infrared (NIR) reflectance spectra of wood chips were analyzed. Applying O-PLS resulted in reduced model complexity with preserved prediction ability, effective removal of non-correlated variation in X and, not least, improved interpretational ability of both correlated and non-correlated variation in the NIR spectra.

2,096 citations

Journal ArticleDOI
TL;DR: This review describes and compares the theoretical and algorithmic foundations of current pre- processing methods plus the qualitative and quantitative consequences of their application to provide NIR users with better end-models through fundamental knowledge on spectral pre-processing.
Abstract: Pre-processing of near-infrared (NIR) spectral data has become an integral part of chemometrics modeling. The objective of the pre-processing is to remove physical phenomena in the spectra in order to improve the subsequent multivariate regression, classification model or exploratory analysis. The most widely used pre-processing techniques can be divided into two categories: scatter-correction methods and spectral derivatives. This review describes and compares the theoretical and algorithmic foundations of current pre-processing methods plus the qualitative and quantitative consequences of their application. The aim is to provide NIR users with better end-models through fundamental knowledge on spectral pre-processing.

1,942 citations

Journal ArticleDOI
TL;DR: The RETROICOR method is found to perform well for both respiration‐ and cardiac‐induced noise without imposing spatial filtering on the correction.
Abstract: Respiration effects and cardiac pulsatility can induce signal modulations in functional MR image time series that increase noise and degrade the statistical significance of activation signals. A simple image-based correction method is described that does not have the limitations of k-space methods that preclude high spatial frequency correction. Low-order Fourier series are fit to the image data based on time of each image acquisition relative to the phase of the cardiac and respiratory cycles, monitored using a photoplethysmograph and pneumatic belt, respectively. The RETROICOR method is demonstrated using resting-state experiments on three subjects and compared with the k-space method. The method is found to perform well for both respiration- and cardiac-induced noise without imposing spatial filtering on the correction. Magn Reson Med 44:162‐167, 2000. © 2000 Wiley-Liss, Inc.

1,913 citations